Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.
Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.
Gait Posture. 2019 Sep;73:26-38. doi: 10.1016/j.gaitpost.2019.07.123. Epub 2019 Jul 2.
Wearable inertial sensors enable sprinting to be biomechanically evaluated in a simple and time efficient manner outside of a laboratory setting.
Are wearable inertial sensors a valid and reliable method for collecting and measuring sprint performance variables compared to referenced systems?
PubMed, SPORTDiscus, and Web of Science were searched using the Boolean phrases: ((run* OR sprinting OR sprint*) AND (IMU OR inertial sensor OR wearable sensor OR accelerometer OR gyroscope) AND (valid* OR reliabil*)). Articles with injury-free subjects of any age, sex or activity level were included.
Fifteen studies met the inclusion criteria and were retained for analysis. In summary, higher Intra-class correlation [ICC] or Pearson correlation coefficients (r) were observed for contact time (ICC ≥ 0.80, r ≥ 0.99), trunk angular displacement (r ≥ 0.99), vertical and horizontal force (ICC ≥ 0.88), and theoretical measures of force, velocity and power (r ≥ 0.81). Low coefficient of variation (CV) were found in peak velocity (≤ 1%), average velocity (≤ 3%), and contact time (≤ 3%,). Average and peak velocity, and resultant forces, were found to have a wide range of r (0.32-0.92) and CVs (0.78-20.2%). The lowest r (-0.24 to 0.49) and highest CVs (15-22.4%) were noted for average acceleration, crania-caudal force, instantaneous forces, medio-lateral ground reaction forces, and rate of decrease in ratio of forces.
Due to a wide range of methodological differences, a clear understanding of the validity and reliability of different inertial sensors for the analysis of sprinting has yet to be established. Future research into the sensor's placement, attachment method and sampling frequency are among several factors that need further investigation.
可穿戴式惯性传感器使短跑可以在实验室环境之外以简单、高效的方式进行生物力学评估。
与参考系统相比，可穿戴式惯性传感器是否是一种收集和测量短跑性能变量的有效且可靠的方法？
使用布尔短语在 PubMed、SPORTDiscus 和 Web of Science 上进行搜索：((run* OR sprinting OR sprint*) AND (IMU OR inertial sensor OR wearable sensor OR accelerometer OR gyroscope) AND (valid* OR reliabil*))。纳入了所有年龄、性别和活动水平的无损伤受试者的文章。
符合纳入标准并保留用于分析的有 15 项研究。总的来说，接触时间（ICC≥0.80，r≥0.99）、躯干角位移（r≥0.99）、垂直和水平力（ICC≥0.88）的更高的组内相关系数[ICC]或皮尔逊相关系数（r）和理论力、速度和功率的测量值（r≥0.81）。在峰值速度（≤1%）、平均速度（≤3%）和接触时间（≤3%）中发现了低变异系数（CV）。平均和峰值速度以及总力的 r 值（0.32-0.92）和 CV 值（0.78-20.2%）范围很广。对于平均加速度、头-尾力、瞬时力、中-侧地面反作用力和力的比值下降率，r 值最低（-0.24 至 0.49），CV 值最高（15-22.4%）。
由于方法学差异广泛，对于不同的惯性传感器分析短跑的准确性和可靠性仍有待进一步了解。未来的研究需要进一步调查传感器的放置、连接方法和采样频率等因素。
